The IRE Resource Center is a major research library containing more than 23,250 investigative stories — both print and broadcast. Add to that more than 3,000 tipsheets from our national conferences on how to cover specific beats or do specific stories and you have a resource that no reporter or editor should be without. These stories and tipsheets are searchable online or by contacting the Resource Center directly (573-882-3364 or rescntr@ire.org) where a researcher can help you pinpoint what you need. Browse or search the tipsheet section of our library below. Logged-in members can view the tipsheets free online:
Search results for "CAR reporting" ...
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Campaign finance the data science way
The Center for Investigative Reporting and IRE teamed up with the San Francisco data science company Kaggle to help bridge the gap in journalism between hacking, math and substantive expertise. They challenged data scientists to approach a database journalists have looked at a million times over: federal campaign contributions. We'll introduce you to the winner of the competition and discuss the tools the data scientists used and their results.
Tags: hacking; math; data; campaign contributions; campaign finance
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Cracking Codes
Learn about datasets that can help localize health stories, including pharmaceutical company spending on doctors, nursing home violations and hospital quality, among others. We will dive into Medicare data and data that local and state reporters can use.
Tags: health data; Medicaid; nursing homes; drugs
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Making Health Data Sexy
Learn about datasets that can help localize health stories, including pharmaceutical company spending on doctors, nursing home violations and hospital quality, among others. We will dive into Medicare data and data that local and state reporters can use.
Tags: Medicare data; nursing home; hospital; pharmaceuticals
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Data tactics for the well-rounded business reporter
Business is all about numbers and data. In this session, you will get tips for finding and using data to beef up your stories about business and economics. No heavy lifting here, but it would be useful to have some experience with spreadsheets.
Tags: business reporting; business; data; numbers
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ProPublica News Apps Desk Coding Manifesto
There's a lot to think about when it comes to news apps, but not all of it is coding. What story is it telling? Does it tell it consistently and in a fact-based way? Does the story it tells agree with the reporting (and if not who's got explaining to do!) What's the lede, what's the nut (yes, apps have those). https://github.com/propublica/guides/blob/master/coding-manifesto.md
Tags: news app; development; style; ProPublica
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The ProPublica news apps style guide
There's a lot to think about when it comes to news apps, but not all of it is coding. What story is it telling? Does it tell it consistently and in a fact-based way? Does the story it tells agree with the reporting (and if not who's got explaining to do!) What's the lede, what's the nut (yes, apps have those). https://github.com/propublica/guides/blob/master/news-apps.md
Tags: news app; development; style; ProPublica
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The Design and Structure of News Application
There's a lot to think about when it comes to news apps, but not all of it is coding. What story is it telling? Does it tell it consistently and in a fact-based way? Does the story it tells agree with the reporting (and if not who's got explaining to do!) What's the lede, what's the nut (yes, apps have those). https://github.com/propublica/guides/blob/master/design-structure.md#intro-the-design-and-structure-of-a-news-application
Tags: news app; development
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Inside baseball: What data journalism can learn from sports
This panel will identify areas for data journalism exploration by examining the current state-of-the-art baseball data analysis. Sports are the original form of data journalism -- box scores predate open government movements by about a century. And Joseph Adler's "Baseball Hacks" trained newbie Web CAR reporters how to scrape and analyze data sets using Perl and MySQL. Finally, sports analytics are a leading indicator for other kinds of analysis. Sensors, economic analysis, leverage are all de rigeur in baseball but still up-and-coming in data journalism. We'll take the concepts being used to analyze baseball, football, soccer and apply them to standard data journalism chores.
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Data-Driven Beats
How can the tools and techniques used in data journalism be applied to the day-to-day demands of beat reporting? What challenges do newsrooms face reorganizing and adding structure to beats? We'll share our experiences building sites like Homicide Watch DC and PolitiFact, and look at examples of other projects that add structure and data to daily beat reporting. http://eyeseast.github.io/data-beats/
Tags: None
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Practical machine learning: Tips, tricks and real-world examples for machine learning in the newsroom
Learn how to apply machine learning in the newsroom from examples from real-world projects, including building intelligent regular expressions with maximum entropy models; using Bayesian classifiers to filter documents; and linear and logistic regression.
Tags: Machine learning; news reporting; entropy models; filters; linear regression; logistic regression